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The Honest Company (HNST) Fair Value & Analysis

Consumer Defensive · US · Market cap $415M

Price$3.69
Fair Value$2.29
Upside-37.9%
Quality95/100
Evidence: Low Range $1.81 – $2.78

Fair value as of: Jun 25, 2026

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Analysis

The Honest Company (HNST) currently trades at $3.69, while our model-based Fair Value estimate is $2.29 — implying the stock looks roughly 37.9% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).

About the company

The Honest Company, Inc. a personal care company, provides personal care products for babies and adults. It offers wipes, personal care, diapers, and beauty products. In addition, it sells its products through retailers and websites, and third-party ecommerce sites. The Honest Company, Inc. was incorporated in 2011 and is headquartered in Los Angeles, California.

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Frequently asked questions

Is The Honest Company (HNST) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $2.29 versus a price of $3.69 — about −38% (overvalued). Model-based estimate, not financial advice.
What is the fair value of HNST?
Our 21-model fair value for The Honest Company is $2.29 (as of Jun 25, 2026), built from audited fundamentals. The current price is $3.69.
What is the quality score of HNST?
The Honest Company has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.